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STOP TELLING CLAUDE "CHECK MY GRAMMAR".
Bad prompt = Bad result.
Here are the prompts that actually work:
Bad prompt = Bad result.
Here are the prompts that actually work:
1. The Voice Match
"Rewrite this to sound like me, not AI.
Here's how I actually talk: [paste 3 real messages/emails]
Match my sentence length, line breaks, and rhythm. Don't copy words. Copy patterns.
Now rewrite: [your draft]"
"Rewrite this to sound like me, not AI.
Here's how I actually talk: [paste 3 real messages/emails]
Match my sentence length, line breaks, and rhythm. Don't copy words. Copy patterns.
Now rewrite: [your draft]"
2. The Word Filter
"Words I avoid: [list them]
Words I use constantly: [list them]
Rewrite this using only MY vocabulary: [paste draft]
If you catch yourself using words from my avoid list, stop and replace immediately."
"Words I avoid: [list them]
Words I use constantly: [list them]
Rewrite this using only MY vocabulary: [paste draft]
If you catch yourself using words from my avoid list, stop and replace immediately."
A contribution from the Lithuanian government has resulted in a total overhaul of a Ukrainian school bomb shelter.
The shelter has been completely upgraded and can now safely host up to 190 students during russian aerial threats.
Thank you to our Lithuanian friends! 🇺🇦🫶🇱🇹
The shelter has been completely upgraded and can now safely host up to 190 students during russian aerial threats.
Thank you to our Lithuanian friends! 🇺🇦🫶🇱🇹
The only guide to prompt engineering you'll ever need.
I went through every resource Anthropic and OpenAI have published publicly.
Here are 10 techniques that actually work in 2026:
I went through every resource Anthropic and OpenAI have published publicly.
Here are 10 techniques that actually work in 2026:
1/ Role + Context stacking
Forget "act as an expert." That's beginner stuff.
The real move: give the model a role AND the situation it's operating in.
Instead of "you're a marketing expert" try:
"You're a direct response copywriter who's written 200+ landing pages for SaaS companies. I'm launching a B2B tool. My buyer is a VP of Engineering who hates being sold to."
The more specific the operating context, the sharper the output.
Generic personas = 60% quality.
Specific role + situation = 94% quality.
Anthropic calls this "grounding the model in your world." OpenAI calls it "system prompt clarity."
Same principle. Works every time.
Forget "act as an expert." That's beginner stuff.
The real move: give the model a role AND the situation it's operating in.
Instead of "you're a marketing expert" try:
"You're a direct response copywriter who's written 200+ landing pages for SaaS companies. I'm launching a B2B tool. My buyer is a VP of Engineering who hates being sold to."
The more specific the operating context, the sharper the output.
Generic personas = 60% quality.
Specific role + situation = 94% quality.
Anthropic calls this "grounding the model in your world." OpenAI calls it "system prompt clarity."
Same principle. Works every time.
2/ Chain of thought forcing
Most people ask for the answer. Smart people ask for the reasoning first.
Here's the technique: add "Think through this step by step before giving your final answer" to any complex prompt.
Sounds obvious. Almost nobody does it.
I tested this on the same Claude prompt — with and without it.
Without: a decent answer in 3 sentences.
With: a 10-step breakdown that caught 2 edge cases I hadn't considered.
The model isn't smarter. You just unlocked a reasoning layer it wasn't using.
OpenAI's internal docs call this "deliberate thinking mode." The difference on hard problems is not subtle.
Most people ask for the answer. Smart people ask for the reasoning first.
Here's the technique: add "Think through this step by step before giving your final answer" to any complex prompt.
Sounds obvious. Almost nobody does it.
I tested this on the same Claude prompt — with and without it.
Without: a decent answer in 3 sentences.
With: a 10-step breakdown that caught 2 edge cases I hadn't considered.
The model isn't smarter. You just unlocked a reasoning layer it wasn't using.
OpenAI's internal docs call this "deliberate thinking mode." The difference on hard problems is not subtle.
BREAKING: They just hit the factory.
Israeli strikes set fire to Phase 14 processing facilities at South Pars today. Iran’s oil ministry and Tasnim confirmed the blaze. Partial production suspension. An estimated 12 million cubic metres per day of gas output affected.
South Pars is the largest gas field on Earth. It produces 70 to 80 percent of Iran’s total gas output. That gas is not just fuel. It is the hydrogen feedstock for the Haber-Bosch process that synthesises ammonia, which becomes urea, which becomes the nitrogen that half the planet’s agriculture depends on. South Pars gas feeds Iranian fertiliser production at its molecular root.
The Hormuz permissioned chokepoint was already blocking the shipping route. Now the strikes are hitting the production source. The war is attacking the nitrogen supply chain at both ends simultaneously.
This is the escalation that collapses every remaining optimistic scenario.
The hopeful case for the global food system was always: the strait reopens, fertiliser flows resume, planting windows are partially salvaged. South Pars burning removes even that. If the strait reopened tomorrow morning and every provincial command stood down and every insurer reinstated cover by afternoon, the gas field that feeds the feedstock that feeds the ammonia that feeds the urea is on fire. The molecule cannot ship because the strait is blocked. The molecule cannot be produced because the factory is burning. Two chokepoints on the same supply chain. Both compromised on the same day of the same war.
South Pars shares its geological reservoir with Qatar’s North Dome field. Qatar’s output is steady. Qatar’s fertiliser production is unaffected. But Qatar’s exports also transit through Hormuz. Qatar’s urea also requires passage through the permissioned chokepoint that the Mosaic Doctrine’s 31 provincial commands control via sealed packets and VHF radio. The world’s two largest producers of the gas that becomes the nitrogen that grows the food are now compromised at different points on the same chain: Iran at the source, Qatar at the route.
Nineteen days. The Supreme Leader killed. The intelligence minister reportedly eliminated. The diplomatic negotiator and Basij commander dead. Over 2,000 targets. Missile production degraded 90 to 95 percent. Bushehr confirmed zero radiation by the IAEA. And now the gas field that anchors the nitrogen feedstock chain is burning.
NOLA urea is $683. It will not go down. It may go up. Because the market just learned that the war is not only blocking the molecule from reaching the ship. It is destroying the facility that creates the molecule in the first place.
The Mosaic provincial commands do not need South Pars to run the strait. They need radio handsets and sealed orders. But the world needed South Pars at full capacity for the day the strait eventually reopened. That day just became worth less. The post-war recovery that commodity desks were pricing as a sharp rebound now has a damaged gas field sitting between the ceasefire and the molecule.
The strikes are justified. The nuclear programme that threatened ten bombs is gone. The military degradation is historic. But the same war that eliminated the nuclear threat is now eliminating the agricultural feedstock that the post-war world will need to recover. The molecule is trapped behind a doctrine at sea and burning on land.
The soil waits for nitrogen. The nitrogen waits for gas. The gas field is on fire. And the strait is still closed.
Full analysis:
open.substack.com/pub/shanakaans…
Israeli strikes set fire to Phase 14 processing facilities at South Pars today. Iran’s oil ministry and Tasnim confirmed the blaze. Partial production suspension. An estimated 12 million cubic metres per day of gas output affected.
South Pars is the largest gas field on Earth. It produces 70 to 80 percent of Iran’s total gas output. That gas is not just fuel. It is the hydrogen feedstock for the Haber-Bosch process that synthesises ammonia, which becomes urea, which becomes the nitrogen that half the planet’s agriculture depends on. South Pars gas feeds Iranian fertiliser production at its molecular root.
The Hormuz permissioned chokepoint was already blocking the shipping route. Now the strikes are hitting the production source. The war is attacking the nitrogen supply chain at both ends simultaneously.
This is the escalation that collapses every remaining optimistic scenario.
The hopeful case for the global food system was always: the strait reopens, fertiliser flows resume, planting windows are partially salvaged. South Pars burning removes even that. If the strait reopened tomorrow morning and every provincial command stood down and every insurer reinstated cover by afternoon, the gas field that feeds the feedstock that feeds the ammonia that feeds the urea is on fire. The molecule cannot ship because the strait is blocked. The molecule cannot be produced because the factory is burning. Two chokepoints on the same supply chain. Both compromised on the same day of the same war.
South Pars shares its geological reservoir with Qatar’s North Dome field. Qatar’s output is steady. Qatar’s fertiliser production is unaffected. But Qatar’s exports also transit through Hormuz. Qatar’s urea also requires passage through the permissioned chokepoint that the Mosaic Doctrine’s 31 provincial commands control via sealed packets and VHF radio. The world’s two largest producers of the gas that becomes the nitrogen that grows the food are now compromised at different points on the same chain: Iran at the source, Qatar at the route.
Nineteen days. The Supreme Leader killed. The intelligence minister reportedly eliminated. The diplomatic negotiator and Basij commander dead. Over 2,000 targets. Missile production degraded 90 to 95 percent. Bushehr confirmed zero radiation by the IAEA. And now the gas field that anchors the nitrogen feedstock chain is burning.
NOLA urea is $683. It will not go down. It may go up. Because the market just learned that the war is not only blocking the molecule from reaching the ship. It is destroying the facility that creates the molecule in the first place.
The Mosaic provincial commands do not need South Pars to run the strait. They need radio handsets and sealed orders. But the world needed South Pars at full capacity for the day the strait eventually reopened. That day just became worth less. The post-war recovery that commodity desks were pricing as a sharp rebound now has a damaged gas field sitting between the ceasefire and the molecule.
The strikes are justified. The nuclear programme that threatened ten bombs is gone. The military degradation is historic. But the same war that eliminated the nuclear threat is now eliminating the agricultural feedstock that the post-war world will need to recover. The molecule is trapped behind a doctrine at sea and burning on land.
The soil waits for nitrogen. The nitrogen waits for gas. The gas field is on fire. And the strait is still closed.
Full analysis:
open.substack.com/pub/shanakaans…
🚨BREAKING: Someone just open-sourced a tool that converts PDFs to markdown at 100 pages per second. 100% FREE.
Runs entirely on CPU. No expensive GPUs needed.
No cloud.
It's called OpenDataLoader PDF.
Give it any PDF - scanned documents, scientific papers, multi-column reports, complex tables - and it converts everything into clean Markdown, JSON with bounding boxes, or HTML. Ready to feed straight into any AI pipeline.
Not a wrapper around someone else's OCR. Not a basic text extractor. A full document intelligence engine that understands layout, reading order, headings, tables, and formulas.
Here's what this thing can do:
→ Extracts text in the correct reading order across multi-column layouts
→ Pulls complex borderless tables with 0.93 accuracy — highest of any open-source parser
→ Detects heading hierarchy, nested lists, and document structure automatically
→ Runs OCR on scanned PDFs in 80+ languages including Chinese, Arabic, Korean, and Japanese
→ Extracts math formulas as LaTeX from scientific papers
→ Gives you bounding boxes for every single element on the page
→ Describes charts and images using a built-in vision model
→ Filters prompt injections and hidden text - built-in AI safety that no other parser has
Here's why every existing tool loses:
They benchmarked it against 200 real-world PDFs including scientific papers and multi-column documents. OpenDataLoader scored 0.90 overall. Docling scored 0.86. Marker scored 0.83 but takes 54 seconds per page. MinerU scored 0.82 at 6 seconds per page.
OpenDataLoader local mode? 0.05 seconds per page. That is over 1,000x faster than Marker at nearly the same accuracy.
Here's the wildest part:
It has two modes. Local mode runs pure Java — 20 pages per second on a basic CPU. Hybrid mode adds an AI backend for complex pages and scores #1 in every category. Run it on an 8-core machine with batch processing and you hit 100+ pages per second.
Your documents never leave your machine. Zero API calls. Zero data transmission. 100% local.
It even has a built-in AI safety layer that catches hidden text, transparent fonts, and off-page content that other parsers silently pass through to your LLM.
One command to install:
pip install -U opendataloader-pdf
Works with Python, Node.js, and Java. Official LangChain integration included.
3.3K GitHub stars. 478 commits. 51 releases. 13 contributors. Actively maintained.
100% Open Source. Apache 2.0 License.
Runs entirely on CPU. No expensive GPUs needed.
No cloud.
It's called OpenDataLoader PDF.
Give it any PDF - scanned documents, scientific papers, multi-column reports, complex tables - and it converts everything into clean Markdown, JSON with bounding boxes, or HTML. Ready to feed straight into any AI pipeline.
Not a wrapper around someone else's OCR. Not a basic text extractor. A full document intelligence engine that understands layout, reading order, headings, tables, and formulas.
Here's what this thing can do:
→ Extracts text in the correct reading order across multi-column layouts
→ Pulls complex borderless tables with 0.93 accuracy — highest of any open-source parser
→ Detects heading hierarchy, nested lists, and document structure automatically
→ Runs OCR on scanned PDFs in 80+ languages including Chinese, Arabic, Korean, and Japanese
→ Extracts math formulas as LaTeX from scientific papers
→ Gives you bounding boxes for every single element on the page
→ Describes charts and images using a built-in vision model
→ Filters prompt injections and hidden text - built-in AI safety that no other parser has
Here's why every existing tool loses:
They benchmarked it against 200 real-world PDFs including scientific papers and multi-column documents. OpenDataLoader scored 0.90 overall. Docling scored 0.86. Marker scored 0.83 but takes 54 seconds per page. MinerU scored 0.82 at 6 seconds per page.
OpenDataLoader local mode? 0.05 seconds per page. That is over 1,000x faster than Marker at nearly the same accuracy.
Here's the wildest part:
It has two modes. Local mode runs pure Java — 20 pages per second on a basic CPU. Hybrid mode adds an AI backend for complex pages and scores #1 in every category. Run it on an 8-core machine with batch processing and you hit 100+ pages per second.
Your documents never leave your machine. Zero API calls. Zero data transmission. 100% local.
It even has a built-in AI safety layer that catches hidden text, transparent fonts, and off-page content that other parsers silently pass through to your LLM.
One command to install:
pip install -U opendataloader-pdf
Works with Python, Node.js, and Java. Official LangChain integration included.
3.3K GitHub stars. 478 commits. 51 releases. 13 contributors. Actively maintained.
100% Open Source. Apache 2.0 License.
Google repo🔗 github.com/opendataloader…
Thank you for reading this.
If you enjoyed this post:
1. Follow me @KanikaBK for more of these
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If you enjoyed this post:
1. Follow me @KanikaBK for more of these
2. RT the tweet below to share this thread with your audience
Check your iPhone storage right now.
Go to Settings > General > iPhone Storage and scroll down.
Look at “System Data” or “Other”.
Is it 30GB, 40GB, 50GB or more?
You have no idea what’s inside Apple doesn’t tell you and there’s no “Delete” button.
However, there’s a trick to clean it up. Here’s how:
Go to Settings > General > iPhone Storage and scroll down.
Look at “System Data” or “Other”.
Is it 30GB, 40GB, 50GB or more?
You have no idea what’s inside Apple doesn’t tell you and there’s no “Delete” button.
However, there’s a trick to clean it up. Here’s how:
IMPORTANT BEFORE YOU START: BACK UP YOUR MESSAGES FIRST
Go to:
Settings → Messages → Keep Messages
Change it to "Forever"
If you skip this, your old chats might get deleted during the process.
Done? Now continue.
Go to:
Settings → Messages → Keep Messages
Change it to "Forever"
If you skip this, your old chats might get deleted during the process.
Done? Now continue.
DATE TRICK - Step 1:
Go to:
Settings → General → Date & Time
Turn OFF "Set Automatically"
Change the date to 1 year into the future.
(Example: If it's Feb 2026 now, set it to Feb 2027)
Leave your iPhone on this date for a few minutes.
Go to:
Settings → General → Date & Time
Turn OFF "Set Automatically"
Change the date to 1 year into the future.
(Example: If it's Feb 2026 now, set it to Feb 2027)
Leave your iPhone on this date for a few minutes.
More tax nonsense from "influencer" Samuel Leeds.
"I just sold my castle. On paper, I lost about £3.5m. But here is the part most people will not understand. It is also a tax write-off... the loss can be set-off against profits"
No it isn't, and no you can't.
Oh dear.
"I just sold my castle. On paper, I lost about £3.5m. But here is the part most people will not understand. It is also a tax write-off... the loss can be set-off against profits"
No it isn't, and no you can't.
Oh dear.
One of the great stupidities of the UK tax system is that capital losses can only be used against capital gains.
If Mr Leeds made a £3.5m trading profit in the same year as his £3.5m capital loss, he is still taxed on the £3.5m trading loss.
No "offset".
If Mr Leeds made a £3.5m trading profit in the same year as his £3.5m capital loss, he is still taxed on the £3.5m trading loss.
No "offset".
The £3.5m loss is only useful if Mr Leeds makes a £3.5m capital gain (now or in the future).
Slight problem is that he makes a lot of money selling overpriced trading courses, but isn't so good at making capital gains.
In the lingo, the capital loss is "stranded".
Slight problem is that he makes a lot of money selling overpriced trading courses, but isn't so good at making capital gains.
In the lingo, the capital loss is "stranded".
🚨BREAKING: Claude can now think like Tim Ferriss and redesign your entire career in one sitting.
Here are 6 Claude prompts that build your escape plan from trading time for money👇
(Save before your competitors do)
Here are 6 Claude prompts that build your escape plan from trading time for money👇
(Save before your competitors do)
-------------------------------------------
1/ FIND YOUR UNFAIR ADVANTAGE
-------------------------------------------
#ROLE:
Act as Tim Ferriss analyzing a person's career for rare skill combinations — the intersection of what you do effortlessly and what the market will pay a premium for.
#TASK:
Identify my most valuable skill stack and explain how to position it for maximum market leverage.
#STEPS:
1. Ask for my skills, interests, work experience, and personality before starting
2. Apply the 80/20 rule — identify the 20% of my skills producing 80% of my results
3. Find the rare combination — skills that intersect in a way few others can replicate
4. Explain the market premium each combination could command
5. Rank by income potential and lifestyle compatibility
#RULES:
- Skill combinations beat single skills — find the intersection
- Every identified advantage must connect to a real market willing to pay
- Lifestyle compatibility is a filter, not an afterthought
#OUTPUT:
Core Skill Stack → 80/20 Analysis → Rare Combinations → Market Premium → Ranked by Potential
1/ FIND YOUR UNFAIR ADVANTAGE
-------------------------------------------
#ROLE:
Act as Tim Ferriss analyzing a person's career for rare skill combinations — the intersection of what you do effortlessly and what the market will pay a premium for.
#TASK:
Identify my most valuable skill stack and explain how to position it for maximum market leverage.
#STEPS:
1. Ask for my skills, interests, work experience, and personality before starting
2. Apply the 80/20 rule — identify the 20% of my skills producing 80% of my results
3. Find the rare combination — skills that intersect in a way few others can replicate
4. Explain the market premium each combination could command
5. Rank by income potential and lifestyle compatibility
#RULES:
- Skill combinations beat single skills — find the intersection
- Every identified advantage must connect to a real market willing to pay
- Lifestyle compatibility is a filter, not an afterthought
#OUTPUT:
Core Skill Stack → 80/20 Analysis → Rare Combinations → Market Premium → Ranked by Potential
---------------------------------------
2/ FIND YOUR LEVERAGE GAPS
---------------------------------------
#ROLE:
Act as a lifestyle design strategist applying Tim Ferriss's principles of automation, outsourcing, and muse businesses to diagnose where effort isn't converting to output.
#TASK:
Analyze my current work, identify what I should eliminate, automate, or delegate, and show which leverage opportunities I'm ignoring.
#STEPS:
1. Ask for what I currently do and how I earn before starting
2. Apply the DEAL framework — Define, Eliminate, Automate, Liberate
3. Identify which tasks only I can do vs. what can be outsourced or automated
4. Map where a muse business or scalable income stream fits my skill set
5. Build a concrete action plan to reclaim time and multiply output
#RULES:
- Busy work gets flagged directly — no softening
- Every automation or delegation recommendation must be executable now
- Action plan must free minimum 10 hours per week as a baseline target
#OUTPUT:
Current Work Audit → DEAL Framework Map → Outsource/Automate List → Muse Opportunity → Action Plan
2/ FIND YOUR LEVERAGE GAPS
---------------------------------------
#ROLE:
Act as a lifestyle design strategist applying Tim Ferriss's principles of automation, outsourcing, and muse businesses to diagnose where effort isn't converting to output.
#TASK:
Analyze my current work, identify what I should eliminate, automate, or delegate, and show which leverage opportunities I'm ignoring.
#STEPS:
1. Ask for what I currently do and how I earn before starting
2. Apply the DEAL framework — Define, Eliminate, Automate, Liberate
3. Identify which tasks only I can do vs. what can be outsourced or automated
4. Map where a muse business or scalable income stream fits my skill set
5. Build a concrete action plan to reclaim time and multiply output
#RULES:
- Busy work gets flagged directly — no softening
- Every automation or delegation recommendation must be executable now
- Action plan must free minimum 10 hours per week as a baseline target
#OUTPUT:
Current Work Audit → DEAL Framework Map → Outsource/Automate List → Muse Opportunity → Action Plan
@BBCWorld @Shayan86 1).
„Joe Kent, director of the National Counterterrorism Center [...] resigned from his position on Tuesday in protest of the war in Iran.
„Joe Kent, director of the National Counterterrorism Center [...] resigned from his position on Tuesday in protest of the war in Iran.
@BBCWorld @Shayan86 2).
– »I cannot in good conscience support the ongoing war in Iran« – Kent wrote in a resignation letter posted to X [1]. – »Iran posed no imminent threat to our nation, and it is clear that we started this war due to pressure from Israel and its powerful American lobby».
– »I cannot in good conscience support the ongoing war in Iran« – Kent wrote in a resignation letter posted to X [1]. – »Iran posed no imminent threat to our nation, and it is clear that we started this war due to pressure from Israel and its powerful American lobby».
@BBCWorld @Shayan86 3).
@realDonaldTrump responded to the news of Kent’s resignation at a White House St Patrick’s Day reception, saying he had read Kent’s resignation statement and claiming he »didn’t know him well« [2].”
@realDonaldTrump responded to the news of Kent’s resignation at a White House St Patrick’s Day reception, saying he had read Kent’s resignation statement and claiming he »didn’t know him well« [2].”
Good morning, we will be reporting on Day 3 of LS vs NHS England at the Employment Tribunal. We expect to begin at 10 am. Our previous coverage is here:
open.substack.com/pub/tribunaltw…
open.substack.com/pub/tribunaltw…
LS, also using the pseudonym Faye Russell-Caldicott, has filed a legal claim against NHS England alleging indirect discrimination on the grounds of sex, religion and disability (PTSD) and harassment related to her sex and philosophical belief (gender-critical).
The case challenges NHSE’s trans staff policy, which permits male employees who identify as women to access female-only toilets, changing rooms and shower facilities.Women uncomfortable with the arrangement are directed to use gender-neutral toilets.
BREAKING: ChatGPT can now build your entire startup from idea to launch like a seasoned entrepreneur without spending a single dollar.
Here are 7 ChatGPT prompts to validate your idea, build your business, and start making money faster than 99% of beginners:
Here are 7 ChatGPT prompts to validate your idea, build your business, and start making money faster than 99% of beginners:
1. Startup Idea Validator
Prompt: "Act like an experienced startup mentor. Analyze this business idea: [describe your idea]. Evaluate the market demand, target audience, and competitors. Highlight the biggest risks, weaknesses, and opportunities, and suggest practical ways to improve the idea before launching."
Prompt: "Act like an experienced startup mentor. Analyze this business idea: [describe your idea]. Evaluate the market demand, target audience, and competitors. Highlight the biggest risks, weaknesses, and opportunities, and suggest practical ways to improve the idea before launching."
2. Profitable Niche Finder
Prompt: "Based on the skills, interests, or resources I have: [describe them], generate 10 realistic startup ideas that can be started with little to no money. Focus on ideas with strong market demand, clear target customers, and the potential to generate revenue quickly."
Prompt: "Based on the skills, interests, or resources I have: [describe them], generate 10 realistic startup ideas that can be started with little to no money. Focus on ideas with strong market demand, clear target customers, and the potential to generate revenue quickly."
